import os

STORAGE = 'local'
# Definitions for COCO 2017 dataset
DATASET_PATH = "E:/DeepLearning/Yet-Another-Openpose-Implementation-master/dataset"


IMAGES_PATH = "E:\\DeepLearning\\Yet-Another-Openpose-Implementation-master\\dataset\\laboratory\\points2imgs"
TRAIN_ANNS = "E:\DeepLearning\Yet-Another-Openpose-Implementation-master\dataset\laboratory\\train_annotations.json"
VALID_ANNS = "E:\DeepLearning\Yet-Another-Openpose-Implementation-master\dataset\laboratory\\val_annotations.json"

# IMAGES_PATH = DATASET_PATH + "/train2017"
# TRAIN_ANNS = DATASET_PATH + "/annotations/person_keypoints_train2017.json"
# VALID_ANNS = DATASET_PATH + "\\annotations\person_keypoints_val2017.json"



# will be used as output files
ROOT_TFRECORDS_PATH = "E:\\DeepLearning\\Yet-Another-Openpose-Implementation-master\\dataset\\TFrecords"
TRAIN_TFRECORDS = ROOT_TFRECORDS_PATH + "\\training\\"
VALID_TFRECORDS = ROOT_TFRECORDS_PATH + "\\validation\\"

RESULTS_ROOT ="E:\\DeepLearning\\Yet-Another-Openpose-Implementation-master\\temp_weights\\"
TENSORBOARD_PATH = RESULTS_ROOT + "\\tensorboard\\"
CHECKPOINTS_PATH = "E:\DeepLearning\Yet-Another-Openpose-Implementation-master\\temp_weights\\22Mon0822-2134\\"
MODELS_PATH = "E:\\DeepLearning\\Yet-Another-Openpose-Implementation-master\\trained_models\\"
